Area of research
Electrical and Electronic Engineering · Computer Science Applications
Research interest
Research interests include Mobile Crowdsensing and Crowdsourcing, Recommender Systems and Techniques, Indoor and Outdoor Localization Technologies, and Human Mobility and Location-Based Analysis.
Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction
SenSpeed: Sensing Driving Conditions to Estimate Vehicle Speed in Urban Environments
TRAC: Truthful auction for location-aware collaborative sensing in mobile crowdsourcing
Sensing Human-Screen Interaction for Energy-Efficient Frame Rate Adaptation on Smartphones
On adaptive routing in urban vehicular networks
Mining large-scale, sparse GPS traces for map inference